Benjamin Aw
Add updated pkl file v3
6fa4bc9
{
"paper_id": "O05-1014",
"header": {
"generated_with": "S2ORC 1.0.0",
"date_generated": "2023-01-19T07:58:47.075992Z"
},
"title": "\u95a9\u5357\u8a9e\u8a9e\u53e5\u57fa\u9031\u8ecc\u8de1\u7522\u751f: \u5169\u7a2e\u6a21\u578b\u4e4b\u6df7\u5408\u8207\u6bd4\u8f03 Min-Nan Sentence Pitch-contour Generation: Mixing and Comparison of Two Kinds of Models",
"authors": [
{
"first": "\u53e4\u9d3b\u708e",
"middle": [],
"last": "\u9ec3\u7dad",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Taiwan University of Science and Technology",
"location": {}
},
"email": ""
},
{
"first": "Hung-Yan",
"middle": [],
"last": "Gu",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Taiwan University of Science and Technology",
"location": {}
},
"email": ""
},
{
"first": "Wei",
"middle": [],
"last": "Huang",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Taiwan University of Science and Technology",
"location": {}
},
"email": ""
},
{
"first": "Dept",
"middle": [],
"last": "Csie",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Taiwan University of Science and Technology",
"location": {}
},
"email": ""
}
],
"year": "",
"venue": null,
"identifiers": {},
"abstract": "",
"pdf_parse": {
"paper_id": "O05-1014",
"_pdf_hash": "",
"abstract": [],
"body_text": [
{
"text": "t t t t t V G G G O \uf0b4 \uf0b4 \uf0b4 \uf03d \uf02b \uf02d 1 1 (1) t G \u8868\u793a\u53e5\u5b50\u4e2d\u7b2c t \u500b\u97f3\u7bc0\u7684\u8072\u8abf, 6 0 \uf0a3 \uf0a3 t G t V \u8868\u793a\u53e5\u5b50\u4e2d\u7b2c t \u500b\u97f3\u7bc0\u7684\u57fa\u9031\u8ecc\u8de1\u91cf\u5316\u78bc, 7 0 \uf0a3 \uf0a3 t V \u7531\u65bc\u516c\u5f0f(1)\u4e2d\u7528\u5230\u7684 t V",
"cite_spans": [],
"ref_spans": [],
"eq_spans": [],
"section": "",
"sec_num": null
},
{
"text": "16 2 1 1 1 1 1 2 1 2 1 ,..., , j , ) g ) k ( f ( N ) g ) k ( f ( N ) g ) k ( f ( ) g ) k ( f ( N R N k A j A j N k H j H j N k A j A j H j H j j \uf03d \uf02d \uf0b7 \uf02d \uf02d \uf0b7 \uf02d \uf03d \uf0e5 \uf0e5 \uf0e5 \uf03d \uf03d \uf03d (5) \u5176\u4e2d N \u8868\u793a\u8a13\u7df4\u8a9e\u53e5\u88e1\u7684\u7e3d\u97f3\u7bc0\u500b\u6578\uff0c ) k ( H j f \u8207 ) k ( A j f \u5206\u5225\u8868\u793a\u7b2c k \u500b\u97f3\u7bc0\u7684 H j f \u8207 A j f \uff0c\u800c H j g \u8207 A j g \u5206\u5225\u8868\u793a HMM \u548c ANN \u6a21\u578b\u7522\u751f\u51fa\u7684\u983b\u7387\u5411\u91cf\u7684\u7b2c j \u7dad\u5ea6\u7684 \u5e73\u5747\u503c\uff0c\u5373 16 2 1 , 1 , 1 1 1 ,..., , j ) k ( f N g ) k ( f N g N k A j A j N k H j H j \uf03d \uf03d \uf03d \uf0e5 \uf0e5 \uf03d \uf03d (6)",
"cite_spans": [],
"ref_spans": [],
"eq_spans": [],
"section": "",
"sec_num": null
}
],
"back_matter": [],
"bib_entries": {
"BIBREF0": {
"ref_id": "b0",
"title": "ATR v-talk Speech Synthesis System",
"authors": [
{
"first": "Y",
"middle": [],
"last": "Sagisaka",
"suffix": ""
}
],
"year": 1992,
"venue": "",
"volume": "",
"issue": "",
"pages": "483--486",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Sagisaka, Y., et al., \"ATR v-talk Speech Synthesis System\", ICSLP' 92, Canada, pp. 483-486, 1992.",
"links": null
},
"BIBREF1": {
"ref_id": "b1",
"title": "Corpus-based Technologies for Chinese text-to-Speech Synthesis",
"authors": [
{
"first": "",
"middle": [],
"last": "Chou",
"suffix": ""
},
{
"first": "",
"middle": [],
"last": "Fu-Chiang",
"suffix": ""
}
],
"year": 1999,
"venue": "",
"volume": "",
"issue": "",
"pages": "",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Chou, Fu-chiang, Corpus-based Technologies for Chinese text-to-Speech Synthesis, Ph. D. Dissertation, Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, 1999.",
"links": null
},
"BIBREF2": {
"ref_id": "b2",
"title": "Microsoft Mulan -a bilingual TTS system",
"authors": [
{
"first": "Min",
"middle": [],
"last": "Chu",
"suffix": ""
}
],
"year": 2003,
"venue": "ICASSP '03",
"volume": "1",
"issue": "",
"pages": "264--267",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Min Chu, et al., \"Microsoft Mulan -a bilingual TTS system\", ICASSP '03, Vol. 1, pp. I264-I267, 2003.",
"links": null
},
"BIBREF3": {
"ref_id": "b3",
"title": "\u5f35\u5510\u745c\uff0c\u4ee5\u5927\u91cf\u8a5e\u5f59\u4f5c\u70ba\u5408\u6210\u55ae\u5143\u7684\u4e2d\u6587\u6587\u8f49\u97f3\u7cfb\u7d71\uff0c\u78a9\u58eb\u8ad6\u6587\uff0c\u570b\u7acb\u4e2d\u8208 \u5927\u5b78\u8cc7\u79d1\u6240\uff0c2005\u3002",
"authors": [],
"year": null,
"venue": "",
"volume": "",
"issue": "",
"pages": "",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "\u5f35\u5510\u745c\uff0c\u4ee5\u5927\u91cf\u8a5e\u5f59\u4f5c\u70ba\u5408\u6210\u55ae\u5143\u7684\u4e2d\u6587\u6587\u8f49\u97f3\u7cfb\u7d71\uff0c\u78a9\u58eb\u8ad6\u6587\uff0c\u570b\u7acb\u4e2d\u8208 \u5927\u5b78\u8cc7\u79d1\u6240\uff0c2005\u3002",
"links": null
},
"BIBREF4": {
"ref_id": "b4",
"title": "Speech Communication: Human and Machine, 2'",
"authors": [
{
"first": "D",
"middle": [],
"last": "O`shaughnessy",
"suffix": ""
}
],
"year": 2000,
"venue": "",
"volume": "",
"issue": "",
"pages": "",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "O`Shaughnessy, D., Speech Communication: Human and Machine, 2' nd ed., IEEE Press, 2000.",
"links": null
},
"BIBREF5": {
"ref_id": "b5",
"title": "A Sentence-Pitch-Contour Generation Method Using VQ/HMM for Mandarin Text-to-speech",
"authors": [
{
"first": "H",
"middle": [
"Y"
],
"last": "Gu",
"suffix": ""
},
{
"first": "C",
"middle": [
"C"
],
"last": "Yang",
"suffix": ""
}
],
"year": 2000,
"venue": "",
"volume": "",
"issue": "",
"pages": "125--128",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Gu, H. Y. and C. C. Yang, \"A Sentence-Pitch-Contour Generation Method Using VQ/HMM for Mandarin Text-to-speech\", ISCSLP' 2000, Beijing, pp. 125-128, 2000.",
"links": null
},
"BIBREF6": {
"ref_id": "b6",
"title": "A Pitch-Contour Model Adaptation Method for Integrated Synthesis of Mandarin, Min-Nan, and Hakka Speech",
"authors": [
{
"first": "H",
"middle": [
"Y"
],
"last": "Gu",
"suffix": ""
},
{
"first": "H",
"middle": [
"C"
],
"last": "Tsai",
"suffix": ""
}
],
"year": 2005,
"venue": "9' th IEEE Int. Workshop on Cellular Neutral Networks and their Applications",
"volume": "",
"issue": "",
"pages": "190--193",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Gu, H. Y. and H. C. Tsai, \"A Pitch-Contour Model Adaptation Method for Integrated Synthesis of Mandarin, Min-Nan, and Hakka Speech\", 9' th IEEE Int. Workshop on Cellular Neutral Networks and their Applications (Hsinchu, Taiwan), pp. 190-193, 2005.",
"links": null
},
"BIBREF7": {
"ref_id": "b7",
"title": "An RNN-based Prosodic Information Synthesizer for Mandarin Text-to-Speech",
"authors": [
{
"first": "S",
"middle": [
"H"
],
"last": "Chen",
"suffix": ""
},
{
"first": "S",
"middle": [
"H"
],
"last": "Hwang",
"suffix": ""
},
{
"first": "Y",
"middle": [
"R"
],
"last": "Wang",
"suffix": ""
}
],
"year": 1998,
"venue": "IEEE trans. Speech and Audio Processing",
"volume": "6",
"issue": "3",
"pages": "226--239",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Chen, S. H., S. H. Hwang and Y. R. Wang, \"An RNN-based Prosodic Information Synthesizer for Mandarin Text-to-Speech\", IEEE trans. Speech and Audio Processing, Vol. 6, No.3, pp. 226-239, 1998.",
"links": null
},
"BIBREF8": {
"ref_id": "b8",
"title": "A Novel Prosodic-Information Synthesizer Based on Recurrent Fuzzy Neural Network for the Chinese TTS System",
"authors": [
{
"first": "C",
"middle": [
"T"
],
"last": "Lin",
"suffix": ""
},
{
"first": "R",
"middle": [
"C"
],
"last": "Wu",
"suffix": ""
},
{
"first": "J",
"middle": [
"Y"
],
"last": "Chang",
"suffix": ""
},
{
"first": "S",
"middle": [
"F"
],
"last": "Liang",
"suffix": ""
}
],
"year": 2004,
"venue": "IEEE trans. Systems, Man, and Cybernetics",
"volume": "34",
"issue": "1",
"pages": "309--324",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Lin, C. T., R. C. Wu, J. Y. Chang, and S. F. Liang, \" A Novel Prosodic-Information Synthesizer Based on Recurrent Fuzzy Neural Network for the Chinese TTS System\" , IEEE trans. Systems, Man, and Cybernetics, Vol. 34, No. 1, pp. 309-324, Feb. 2004.",
"links": null
},
"BIBREF10": {
"ref_id": "b10",
"title": "Fundamentals of Speech Recognition",
"authors": [
{
"first": "L",
"middle": [],
"last": "Rabiner",
"suffix": ""
},
{
"first": "B",
"middle": [
"H"
],
"last": "Juang",
"suffix": ""
}
],
"year": 1993,
"venue": "",
"volume": "",
"issue": "",
"pages": "",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Rabiner, L. and B. H. Juang, Fundamentals of Speech Recognition, Prentice-Hall, 1993.",
"links": null
},
"BIBREF11": {
"ref_id": "b11",
"title": "\u66f9\u4ea6\u5c91\uff0c\u4f7f\u7528\u5c0f\u578b\u8a9e\u6599\u985e\u795e\u7d93\u7db2\u8def\u4e4b\u570b\u8a9e\u8a9e\u97f3\u5408\u6210\u97fb\u5f8b\u53c3\u6578\u7522\u751f\uff0c\u78a9\u58eb\u8ad6 \u6587\uff0c\u570b\u7acb\u53f0\u7063\u79d1\u6280\u5927\u5b78\u96fb\u6a5f\u6240\uff0c2003\u3002",
"authors": [],
"year": null,
"venue": "",
"volume": "",
"issue": "",
"pages": "",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "\u66f9\u4ea6\u5c91\uff0c\u4f7f\u7528\u5c0f\u578b\u8a9e\u6599\u985e\u795e\u7d93\u7db2\u8def\u4e4b\u570b\u8a9e\u8a9e\u97f3\u5408\u6210\u97fb\u5f8b\u53c3\u6578\u7522\u751f\uff0c\u78a9\u58eb\u8ad6 \u6587\uff0c\u570b\u7acb\u53f0\u7063\u79d1\u6280\u5927\u5b78\u96fb\u6a5f\u6240\uff0c2003\u3002",
"links": null
},
"BIBREF12": {
"ref_id": "b12",
"title": "Application of Fully Recurrent Neural Networks for Speech Recognition",
"authors": [
{
"first": "S",
"middle": [
"J"
],
"last": "Lee",
"suffix": ""
},
{
"first": "K",
"middle": [
"C"
],
"last": "Kim",
"suffix": ""
},
{
"first": "H",
"middle": [
"Y"
],
"last": "Jung",
"suffix": ""
},
{
"first": "W",
"middle": [],
"last": "Cho",
"suffix": ""
}
],
"year": 1991,
"venue": "",
"volume": "",
"issue": "",
"pages": "77--80",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Lee, S. J., K. C. Kim, H. Y. Jung, and W. Cho, \"Application of Fully Recurrent Neural Networks for Speech Recognition\", ICASSP' 91, pp. 77-80, 1991.",
"links": null
},
"BIBREF14": {
"ref_id": "b14",
"title": "\u674e\u96ea\u8c9e\uff0c\u5ba2\u8a9e\u8a9e\u97f3\u5408\u6210\u4e4b\u521d\u6b65\u7814\u7a76\uff0c\u78a9\u58eb\u8ad6\u6587\uff0c\u570b\u7acb\u53f0\u7063\u79d1\u6280\u5927\u5b78\u8cc7\u5de5\u6240\uff0c 2001\u3002",
"authors": [],
"year": null,
"venue": "",
"volume": "",
"issue": "",
"pages": "",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "\u674e\u96ea\u8c9e\uff0c\u5ba2\u8a9e\u8a9e\u97f3\u5408\u6210\u4e4b\u521d\u6b65\u7814\u7a76\uff0c\u78a9\u58eb\u8ad6\u6587\uff0c\u570b\u7acb\u53f0\u7063\u79d1\u6280\u5927\u5b78\u8cc7\u5de5\u6240\uff0c 2001\u3002",
"links": null
},
"BIBREF15": {
"ref_id": "b15",
"title": "A Mandarin-syllable Signal Synthesis Method with Increased Flexibility in Duration, Tone and Timbre Control",
"authors": [
{
"first": "H",
"middle": [
"Y"
],
"last": "Gu",
"suffix": ""
},
{
"first": "W",
"middle": [
"L"
],
"last": "Shiu",
"suffix": ""
}
],
"year": 1998,
"venue": "Proceedings of the National Science Council",
"volume": "22",
"issue": "",
"pages": "385--395",
"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Gu, H. Y. and W. L. Shiu, \"A Mandarin-syllable Signal Synthesis Method with Increased Flexibility in Duration, Tone and Timbre Control\", Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering, Vol.22, No.3, pp.385-395,1998.",
"links": null
}
},
"ref_entries": {
"FIGREF0": {
"num": null,
"text": "ai, -uai, -au, -iau 7 -i, -u, -ui, -iu ing, -eng, -in, -un, -en ang, -iang, -uang, -ong, -iong, -an, -uan 10 -am, -iam, -im, -om 11 -ah, -eh, -ih, -oh, -uh, -auh, -erh, -iah, -ierh, -ioh, -uah, -ueh 12 -ap, -iap, -ip, -op, -at, -et, -it, -uat, -ut, -ak, -iak, -ik, -iok, -ok \u6539\uff0c\u4f8b\u5982\u628a/-au, -iau/\u6539\u653e\u65bc\u7b2c 6 \u985e\uff0c\u628a/-ing, -eng/\u6539\u653e\u65bc\u7b2c 8 \u985e\uff0c\u628a/-an, -uan/\u6539 \u653e\u65bc\u7b2c 9 \u985e\u3002\u53e6\u5916\uff0c\u7b2c 11\u300112 \u985e\u662f\u570b\u8a9e\u6240\u7121\u7684\u95a9\u5357\u8a9e\u5165\u8072\u97fb\u6bcd\uff0c\u7b2c 10 \u985e\u662f\u570b\u8a9e \u6240\u6c92\u6709\u7684\u5176\u5b83\u95a9\u5357\u8a9e\u97fb\u6bcd\u3002",
"uris": null,
"type_str": "figure"
},
"TABREF0": {
"type_str": "table",
"num": null,
"html": null,
"content": "<table><tr><td>\u7522\u751f\u57fa\u9031\u8ecc\u8de1\uff0c\u7528\u4ee5\u6aa2\u9a57\u6240\u5408\u6210\u7684\u8a9e\u53e5\uff0c\u5176\u8a9e\u8abf\u662f\u5426\u6709\u4e0b\u50be\u7684\u8868\u73fe\uff0c\u76f8\u9130\u97f3\u7bc0\u9593 \u7528\uff0c\u5404\u53e5\u5206\u5225\u5b58\u6210\u4e00\u500b\u97f3\u6a94\u3002\u767c\u97f3\u7528\u7684\u6587\u53e5\u4e3b\u8981\u662f\u53d6\u81ea\u95a9\u5357\u8a9e\u6b4c\u66f2\u7684\u6b4c\u8a5e\uff0c\u90e8\u5206 00 a 11 a 22 a</td></tr><tr><td>\u7684\u57fa\u9031\u8ecc\u8de1\u662f\u5426\u6709\u4e0d\u5e73\u9806\u929c\u63a5\u7684\u5730\u65b9\u3002 \u5247\u662f\u81ea\u884c\u9020\u53e5\uff0c\u8072\u8abf\u5927\u90e8\u5206\u662f\u63a1\u8b8a\u904e\u8abf\u7684\u4ee5\u65b9\u4fbf\u5538\u8b80\u9304\u97f3\uff0c\u5728\u9304\u97f3\u4e4b\u524d\u6211\u5011\u5df2\u5c0d State 0 State 1 01 a 12 a State 2 \u6587\u53e5\u4f5c\u904e\u5206\u6790\u7be9\u9078\uff0c\u4ee5\u78ba\u4fdd\u8a13\u7df4\u8a9e\u53e5\u88e1\u524d\u5f8c\u4e09\u97f3\u7bc0\u7684\u8072\u8abf\u7d44\u5408\uff0c\u80fd\u5920\u542b\u84cb\u6240\u6709\u53ef \u53e5 \u9996 \u53e5 \u4e2d \u53e5 \u5c3e</td></tr><tr><td>\u5176\u5be6\u672c\u6587\u7814\u7a76\u95a9\u5357\u8a9e\u8a9e\u53e5\u57fa\u9031\u8ecc\u8de1\u4e4b\u7522\u751f\uff0c\u662f\u5f9e\u53e6\u4e00\u500b\u65b9\u5411\u4f86\u601d\u8003\u53f0\u7063\u5730\u5340 \u7684\u8a9e\u97f3\u5408\u6210\u7814\u7a76\u7684\u554f\u984c\uff0c\u5c31\u662f\u5f37\u52e2\u8a9e\u8a00\u7684\u6587\u53e5\u7ffb\u8a9e\u97f3(text-to-speech, TTS)\u7814\u7a76\uff0c \u80fd\u7684\u8072\u8abf\u7d44\u5408\uff0c\u5be6\u969b\u60c5\u5f62\u662f\u5404\u7a2e\u7d44\u5408\u6700\u5c11\u90fd\u51fa\u73fe\u4e09\u6b21\uff0c\u800c\u51fa\u73fe\u6b21\u6578\u5728 3 \u81f3 5 \u6b21\u4e4b \u9593\u7684\u6709 194 \u7a2e\u7d44\u5408\uff0c\u5728 6 \u81f3 10 \u6b21\u4e4b\u9593\u7684\u6709 126 \u7a2e\u7d44\u5408\u3002 \u5716 1 \u97fb\u5f8b\u72c0\u614b\u8f49\u79fb\u5716</td></tr><tr><td>\u532f\u805a\u4e86\u5927\u90e8\u5206\u7684\u7814\u7a76\u8cc7\u6e90(\u4eba\u529b\u3001\u7d93\u8cbb)\uff0c\u800c\u7576\u8981\u5c0d\u53e6\u4e00\u5f31\u52e2\u8a9e\u8a00\u4f5c TTS \u4e4b\u7814\u7a76 \u4e4b\u7d44\u5408\uff0c\u5373\u4ee4\u6642\u523b t \u6642\u7684\u89c0\u6e2c\u7b26\u865f\u70ba:</td></tr><tr><td>\u6642\uff0c\u4ecd\u7136\u9700\u8981\u518d\u6295\u5165\u5927\u91cf\u7684\u8cc7\u6e90\uff0c\u9019\u6a23\u7684\u60c5\u6cc1\u5c0d\u65bc corpus based \u4e4b\u7814\u7a76\u65b9\u5411\u61c9\u662f \u9304\u97f3\u5f8c\uff0c\u63a5\u8457\u9032\u884c\u57fa\u9031\u9802\u9ede\u6a19\u8a18\u548c\u97f3\u7bc0\u908a\u754c\u6a19\u8a18\u7684\u52d5\u4f5c\uff0c\u5148\u4ee5\u7a0b\u5f0f\u4f5c\u81ea\u52d5\u5075</td></tr><tr><td>\u5f88\u660e\u986f\u7684\u3002\u56e0\u6b64\u6211\u5011\u958b\u59cb\u601d\u8003\uff0c\u5982\u4f55\u8b93\u4e00\u7a2e\u8a9e\u8a00\u7684\u8a9e\u97f3\u5408\u6210\u4e4b\u7814\u7a76\u6210\u679c\uff0c\u80fd\u5920\u5f88 \u6e2c\uff0c\u518d\u7531\u4eba\u5de5\u66f4\u6b63\u932f\u8aa4\u7684\u6a19\u8a18\u3002\u7531\u65bc\u9304\u5f97\u7684\u5404\u97f3\u7bc0\u7684\u6642\u9593\u9577\u5ea6\u4e0d\u76f8\u540c\uff0c\u56e0\u6b64\u6211\u5011</td></tr><tr><td>\u7d93\u6fdf\u5730\u8f49\u79fb\u7d66\u53e6\u4e00\u500b\u8a9e\u8a00\u4f7f\u7528\uff0c\u5982\u6b64\u5f31\u52e2\u8a9e\u8a00\u9762\u81e8\u7684\u5b58\u7e8c\u554f\u984c\uff0c\u5c31\u53ef\u7372\u5f97\u81f3\u5c11\u4e00 \u5148\u4f5c\u6642\u9593\u6b63\u898f\u5316\u4e4b\u8655\u7406\uff0c\u8b93\u5404\u500b\u97f3\u7bc0\u7684\u57fa\u9031\u8ecc\u8de1\u90fd\u4ee5\u76f8\u540c\u7684 16 \u7dad\u5ea6(dimensions)</td></tr><tr><td>\u4e9b\u4e9b\u7684\u8212\u89e3\u3002\u5c0d\u65bc\u540c\u6a23\u662f\u4ee5\u97f3\u7bc0\u70ba\u7d44\u6210\u55ae\u4f4d\u7684\u8072\u8abf\u8a9e\u8a00\u4f86\u8aaa\uff0c\u4f8b\u5982\u570b\u8a9e(\u5317\u4eac \u7684\u983b\u7387\u5411\u91cf &lt;f 0 , f 1 , \u2026, f 15 &gt;\u4f86\u8868\u793a\uff0cf k \u8868\u793a\u5728\u97f3\u7bc0\u6709\u8072\u90e8\u5206\u6642\u9593\u6bd4\u4f8b k/15 \u5730\u65b9\u7684</td></tr><tr><td>\u8a71)\u3001\u95a9\u5357\u8a71\u3001\u5ba2\u5bb6\u8a71\u3001\u5ee3\u6771\u8a71...\u7b49\uff0c\u6211\u5011\u53ef\u5148\u9078\u64c7\u5176\u4e2d\u4e00\u500b\u4f5c\u70ba\u5de5\u4f5c\u8a9e\u8a00(working \u57fa\u983b\u983b\u7387\u503c\u53d6\u5c0d\u6578\uff0c\u8a72\u983b\u7387\u503c\u53ef\u4f9d\u57fa\u9031\u9802\u9ede\u6a19\u8a18\u8cc7\u6599\u53bb\u5167\u5dee\u5f97\u5230[6]\u3002</td></tr><tr><td>language)\uff0c\u4f86\u7814\u7a76\u5b83\u7684\u97fb\u5f8b\u53c3\u6578\u7522\u751f\u6a21\u578b\uff0c\u7136\u5f8c\u900f\u904e\u6a21\u578b\u8abf\u9069\uff0c\u4ee5\u5de5\u4f5c\u8a9e\u8a00\u8a13\u7df4</td></tr><tr><td>\u7684\u6a21\u578b\uff0c\u4f86\u7522\u751f\u51fa\u6a19\u7684\u8a9e\u8a00(target language)\u7684\u97fb\u5f8b\u53c3\u6578\u3002\u9019\u6a23\u7684\u60f3\u6cd5\uff0c\u5148\u524d\u6211\u5011 \u7531\u65bc\u8a13\u7df4\u53ca\u6e2c\u8a66\u8a9e\u53e5\u7684\u9304\u97f3\u662f\u5206\u6563\u5728\u5f88\u591a\u5929\u88e1\uff0c\u9304\u97f3\u8005\u5f88\u96e3\u4e00\u76f4\u7dad\u6301\u5728\u540c\u4e00</td></tr><tr><td>\u5df2\u66fe\u7d93\u4ee5\u57fa\u9031\u8ecc\u8de1\u53c3\u6578\u70ba\u4f8b\uff0c\u9078\u64c7\u95a9\u5357\u8a9e\u4f5c\u70ba\u5de5\u4f5c\u8a9e\u8a00\uff0c\u4f86\u5efa\u9020\u5b83\u7684 SPC-HMM \u7a2e\u7cbe\u795e\u72c0\u6cc1\u8207\u5fc3\u60c5\u4e0b\u4f86\u9304\u97f3\uff0c\u800c\u4f7f\u5f97\u9304\u5230\u7684\u8a9e\u53e5\u6709\u7684\u97f3\u8abf\u8f03\u9ad8\u6709\u7684\u97f3\u8abf\u8f03\u4f4e\uff0c\u82e5</td></tr><tr><td>\u6a21\u578b[6]\uff0c\u7136\u5f8c\u8abf\u9069\u6b64\u6a21\u578b\u4ee5\u7522\u751f\u51fa\u570b\u8a9e\u548c\u5ba2\u5bb6\u8a9e\u8a9e\u53e5\u7684\u57fa\u9031\u8ecc\u8de1\uff0c\u521d\u6b65\u5be6\u9a57\u7d50 \u4e0d\u4f5c\u97f3\u9ad8\u6b63\u898f\u5316\u4e4b\u8655\u7406\uff0c\u5247\u6a21\u578b\u7522\u751f\u51fa\u7684\u53e5\u5b50\u57fa\u9031\u8ecc\u8de1\u6703\u6709\u9ad8\u4f4e\u8d77\u4f0f\u7684\u4e0d\u5e73\u9806\u929c</td></tr><tr><td>\u679c\u986f\u793a\uff0c\u6211\u5011\u7684\u60f3\u6cd5\u662f\u53ef\u884c\u7684[7]\u3002 \u63a5\u7684\u73fe\u8c61\u3002\u56e0\u6b64\u4f5c\u5b8c\u6642\u9593\u6b63\u898f\u5316\u8655\u7406\u4e4b\u5f8c\uff0c\u63a5\u8457\u9084\u9700\u9032\u884c\u97f3\u9ad8\u6b63\u898f\u5316\u7684\u8655\u7406\u3002\u4e00</td></tr><tr><td>\u7a2e\u7c21\u55ae\u4e14\u6709\u6548\u7684\u6b63\u898f\u5316\u65b9\u6cd5\u662f[6]: (a)\u6c42\u5404\u500b\u97f3\u7bc0\u7684\u5e73\u5747\u97f3\u9ad8\uff0c\u4ea6\u5373\u6c42\u53d6\u983b\u7387\u5411\u91cf</td></tr><tr><td>\u53f0\u7063\u7684\u4e09\u7a2e\u4e3b\u8981\u8a9e\u8a00\uff1a\u570b\u8a9e\u3001\u95a9\u5357\u8a9e\u3001\u5ba2\u5bb6\u8a9e\uff0c\u6211\u5011\u6240\u4ee5\u6703\u9078\u64c7\u95a9\u5357\u8a9e\u4f5c\u70ba \u7684 16 \u500b\u7dad\u5ea6\u6578\u503c\u7684\u5e73\u5747\uff1b(b)\u6c42\u7b2c k \u500b\u8a9e\u53e5\u7684\u5e73\u5747\u97f3\u9ad8 HS k \uff0c\u4ea6\u5373\u6c42\u53d6\u8a72\u8a9e\u53e5\u7684</td></tr><tr><td>\u5de5\u4f5c\u8a9e\u8a00\uff0c\u662f\u56e0\u70ba\u5b83\u7684\u8072\u8abf\u6578\u91cf(7 \u500b)\u548c\u57fa\u672c\u97f3\u7bc0\u6578\u91cf(785 \u500b)\u90fd\u662f\u6700\u591a\u7684\uff0c\u4e26\u4e14 \u7d44\u6210\u97f3\u7bc0\u7684\u97f3\u9ad8\u7684\u5e73\u5747\u503c\uff1b(c)\u6c42\u7e3d\u9ad4\u8a9e\u53e5\u7684\u5e73\u5747\u97f3\u9ad8 HT\uff0c\u4ea6\u5373\u5c07\u5404\u500b\u8a9e\u53e5\u7684\u97f3</td></tr><tr><td>\u5b83\u7684\u8072\u8abf\u985e\u578b\u53ef\u542b\u84cb\u5ba2\u5bb6\u8a9e\u7684(\u56db\u7e23\u8154 6 \u500b\u3001\u6d77\u9678\u8154 7 \u500b)\uff0c\u53ca\u570b\u8a9e\u88e1\u7684\u524d\u56db\u500b\uff0c \u9ad8\u52a0\u7e3d\u518d\u9664\u4ee5\u8a9e\u53e5\u6578\u91cf\uff1b(d)\u4f9d\u64da HD k = HS k -HT\uff0c\u5c07\u7b2c k \u500b\u8a9e\u53e5\u7684\u5404\u500b\u7d44\u6210\u97f3\u7bc0</td></tr><tr><td>\u800c\u570b\u8a9e\u88e1\u7684\u8f15\u8072\u4e5f\u53ef\u4ee5\u95a9\u5357\u8a9e\u7684\u4f4e\u5165\u8072\u4f86\u8fd1\u4f3c\u3002\u96d6\u7136\u5148\u524d\u6211\u5011\u66fe\u7814\u7a76\u5efa\u9020\u95a9\u5357\u8a9e \u7684\u97f3\u9ad8\u6e1b\u53bb HD k \uff0c\u4ea6\u5373\u983b\u7387\u5411\u91cf\u7684\u5404\u500b\u7dad\u5ea6\u90fd\u8981\u6e1b\u53bb HD k \u3002</td></tr><tr><td>\u57fa\u9031\u8ecc\u8de1\u7684 SPC-HMM \u6a21\u578b\uff0c\u4e0d\u904e\u6709\u4e0d\u5c11\u7814\u7a76\u6210\u679c\u6307\u51fa\u985e\u795e\u7d93\u7db2\u8def(ANN)\u6a21\u578b\u5177</td></tr><tr><td>\u6709\u4e0d\u932f\u7684\u6548\u80fd[8, 9] \uff0c\u56e0\u6b64\u6211\u5011\u89ba\u5f97\u5c0d\u65bc\u5de5\u4f5c\u8a9e\u8a00\u7684\u57fa\u9031\u8ecc\u8de1\u6a21\u578b\uff0c\u518d\u5617\u8a66\u4ee5 ANN</td></tr><tr><td>\u6a21\u578b\u6216\u4ee5 SPC-HMM \u548c ANN \u4e4b\u6df7\u5408\u4f86\u63d0\u5347\u6548\u80fd\uff0c\u662f\u503c\u5f97\u53bb\u7814\u7a76\u3001\u63a2\u8a0e\u7684\uff0c\u5982\u6b64</td></tr><tr><td>\u5c0d\u65bc\u6a19\u7684\u8a9e\u8a00\u7684\u6548\u80fd\u4e5f\u5c07\u6703\u7372\u5f97\u6539\u9032\u3002\u6240\u4ee5\uff0c\u672c\u8ad6\u6587\u5148\u5728\u76f8\u540c\u8a13\u7df4\u8a9e\u6599\u7684\u60c5\u6cc1 \u4ee5\u4fdd\u6301\u5408\u6210\u55ae\u5143\u7684\u4fe1\u865f\u6e05\u6670\u5ea6\u8207\u81ea\u7136\u5ea6\uff0c\u4ea6\u5373\u4e0d\u4f5c\u57fa\u9031\u8ecc\u8de1\u6a21\u578b\u5efa\u9020\u548c\u53c3\u6578\u503c\u7522 \u7531\u65bc\u6574\u53e5\u8a71\u7684\u884c\u9032(\u8a9e\u8abf)\u5c0d\u65bc\u97f3\u7bc0\u57fa\u9031\u8ecc\u8de1\u7684\u5f71\u97ff\u662f\u4e0d\u6613\u7cbe\u78ba\u63cf\u8ff0\u7684\uff0c\u56e0\u6b64 \u4e0b\uff0c\u6bd4\u8f03\u500b\u5225\u7684 SPC-HMM \u548c ANN \u6a21\u578b\u7684\u57fa\u9031\u8ecc\u8de1\u9810\u6e2c\u8aa4\u5dee\uff0c\u518d\u5617\u8a66\u4ee5\u6a21\u578b\u6df7 \u751f\u7684\u52d5\u4f5c\u3002\u53ef\u662f\u5be6\u52d9\u4e0a\uff0c\u8981\u9304\u97f3\u53ca\u88fd\u4f5c\u5920\u5927\u7684 corpus\uff0c\u6240\u9700\u7684\u4eba\u529b\u8207\u7d93\u8cbb\uff0c\u4e26\u4e0d \u5148\u524d\u6211\u5011\u5c0d\u570b\u8a9e\u4f5c\u4e86\u9019\u6a23\u7684\u7814\u7a76[10][6]\uff0c\u5373\u4ee5 HMM \u88e1\u7684\u96b1\u85cf\u72c0\u614b\u4f86\u63cf\u8ff0\uff0c\u97f3\u7bc0 \u5408\u4e4b\u4f5c\u6cd5\u4f86\u964d\u4f4e\u9810\u6e2c\u8aa4\u5dee\u3002\u7531\u65bc\u8a13\u7df4\u8a9e\u6599\u7684\u5927\u5c0f\u3001\u4f86\u6e90\u4e0d\u4e00\u6a23\uff0c\u6240\u4ee5\u672c\u6587\u5f97\u5230\u7684 \u662f \u4e00 \u822c \u7684 \u7814 \u7a76 \u8005 \u80fd \u5920 \u8ca0 \u64d4 \u5f97 \u8d77 \uff0c \u5373 \u4f7f \u4ee5 \u7a0b \u5f0f \u81ea \u52d5 \u4f5c \u6a19 \u97f3 (labeling) \u548c \u65b7 \u97f3 \u57fa \u9031 \u8ecc \u8de1 \u5728 \u4e00 \u53e5 \u8a71 \u884c \u9032 \u4e2d \u7684 \u4e0d \u540c \u6642 \u9593 \u4f4d \u7f6e \u6240 \u53d7 \u7684 \u4e0d \u540c \u5f71 \u97ff \uff0c \u7a31 \u70ba \u57fa\u9031\u8ecc\u8de1\u6548\u80fd\uff0c\u4e26\u672a\u548c\u4ed6\u4eba\u7684\u7814\u7a76\u6210\u679c\u4f5c\u6bd4\u8f03\u3002 (segmenting)\uff0c\u4e5f\u4ecd\u7136\u9700\u8981\u4f5c\u4eba\u5de5\u7684\u6821\u6b63\u3002\u7136\u800c\u7576 corpus \u4e0d\u5920\u5927\u6642\uff0c\u6703\u9047\u5230\u7684\u4e00 SPC-HMM(sentence-pitch-contour HMM)\u3002\u5176\u89c0\u5ff5\u662f\u4ee5 HMM \u7684\u4e09\u500b\u96b1\u85cf\u72c0\u614b\u4f86</td></tr><tr><td>\u500b\u548c\u57fa\u9031\u8ecc\u8de1\u6709\u95dc\u7684\u554f\u984c\u662f\uff0c\u5408\u6210\u51fa\u7684\u53e5\u5b50\u7684\u8a9e\u8abf\uff0c\u7f3a\u4e4f\u4eba\u985e\u8aaa\u8a71\u6642\u7684\u81ea\u7136\u4e0b\u50be \u5c0d\u61c9\u4e00\u500b\u53e5\u5b50(\u6216\u547c\u5438\u7fa4)\u5167\u7684\" \u53e5\u9996\" \u3001\" \u53e5\u4e2d\" \u8207\" \u53e5\u5c3e\" \u7b49\u4e09\u500b\u96b1\u542b\u7684\u97fb\u5f8b\u72c0\u614b\uff0c</td></tr><tr><td>(declining)\u7684\u8868\u73fe[5]\uff0c\u9019\u6703\u8b93\u807d\u8005\u8f03\u96e3\u638c\u63e1\u8aaa\u8a71\u7684\u7bc0\u594f\uff0c\u800c\u53e6\u4e00\u500b\u53ef\u80fd\u767c\u751f\u7684\u60c5 \u5982\u5716 1 \u6240\u793a\u3002\u81f3\u65bc HMM \u7684\u89c0\u6e2c(observation)\u503c\uff0c\u6211\u5011\u63a1\u7528\u96e2\u6563\u5f0f\u7684\u89c0\u6e2c\u7b26\u865f\uff0c 2. \u8a13\u7df4\u8a9e\u53e5\u9304\u97f3\u8207\u57fa\u9031\u8ecc\u8de1\u4e4b\u524d\u8655\u7406 \u6cc1\u662f\uff0c\u5728\u5408\u6210\u55ae\u5143\u7684\u908a\u754c\uff0c\u97f3\u8abf\u672a\u80fd\u5e73\u9806\u929c\u63a5\u3002\u6b64\u5916\uff0c\u9084\u5b58\u5728\u7684\u4e00\u500b\u660e\u986f\u554f\u984c\u662f\uff0c \u4e14\u4ee4\u4e00\u500b\u8a9e\u53e5\u7684\u5404\u500b\u97f3\u7bc0\u5206\u5225\u7522\u751f\u51fa\u4e00\u500b\u89c0\u6e2c\u7b26\u865f\u3002\u7531\u65bc\u8003\u616e\u6642\u523b t \u6642\u7684\u97f3\u7bc0\u57fa</td></tr><tr><td>\u5408\u6210\u8a9e\u53e5\u7684\u8aaa\u8a71\u901f\u5ea6\u6703\u5ffd\u5feb\u5ffd\u6162\u5730\u4e0d\u4e00\u81f4\uff0c\u539f\u56e0\u61c9\u662f\u4f86\u81ea\u4e0d\u540c\u539f\u59cb\u8a9e\u53e5\u7684\u5408\u6210\u55ae \u57fa\u9031\u8ecc\u8de1\u6a21\u578b\u7684\u8a13\u7df4\u8207\u6e2c\u8a66\u8a9e\u6599\uff0c\u90fd\u662f\u7531\u672c\u6587\u7b2c\u4e8c\u4f5c\u8005\u5728\u5be6\u9a57\u5ba4\u4ee5\u9ea5\u514b\u98a8\u767c \u9031\u8ecc\u8de1\u81f3\u5c11\u6703\u53d7\u5230\u524d\u3001\u5f8c\u53ca\u672c\u97f3\u7bc0\u8072\u8abf\u7684\u5f71\u97ff\uff0c\u6240\u4ee5\u6211\u5011\u5b9a\u7fa9\u89c0\u6e2c\u7b26\u865f\u70ba\uff0c\u524d\u4e00</td></tr><tr><td>\u5143\uff0c\u767c\u97f3\u7684\u901f\u5ea6\u4e0d\u5339\u914d\u3002\u57fa\u65bc\u524d\u8ff0\u7684\u554f\u984c\uff0ccorpus based \u7684\u8a9e\u97f3\u5408\u6210\u4f5c\u6cd5\uff0c\u9664\u975e \u97f3\u76f4\u63a5\u9304\u97f3\u5230\u96fb\u8166\u4e2d\uff0c\u53d6\u6a23\u7387\u70ba 22,050Hz\uff0c\u6a23\u672c\u503c\u5bec\u5ea6 16bits\uff0c\u7e3d\u5171\u9304\u4e86 643 \u53e5 \u500b\u97f3\u7bc0\u8072\u8abf\u3001\u672c\u97f3\u7bc0\u8072\u8abf\u3001\u4e0b\u4e00\u500b\u97f3\u7bc0\u8072\u8abf\u53ca\u672c\u97f3\u7bc0\u57fa\u9031\u8ecc\u8de1\u91cf\u5316\u78bc\u7b49\u56db\u500b\u56e0\u7d20</td></tr><tr><td>\u662f corpus \u5920\u5927\u4e14\u9304\u97f3\u8005\u80fd\u5920\u4e00\u76f4\u7dad\u6301\u8aaa\u8a71\u7684\u5e73\u7a69\uff0c\u4e0d\u7136\u9084\u662f\u6709\u9700\u8981\u5efa\u9020\u6a21\u578b\u4f86 (3,696 \u97f3\u7bc0)\u95a9\u5357\u8a9e\u53e5\u4f5c\u70ba\u8a13\u7df4\u4e4b\u7528\uff0c65 \u53e5(437 \u97f3\u7bc0)\u95a9\u5357\u8a9e\u53e5\u4f5c\u70ba\u5916\u90e8\u6e2c\u8a66\u4e4b</td></tr></table>",
"text": "\u6458\u8981 \u672c\u6587\u5c0d\u5169\u7a2e\u57fa\u9031\u8ecc\u8de1\u7684\u7522\u751f\u6a21\u578b\uff0cSPC-HMM \u548c ANN\uff0c\u4f5c\u6539\u9032\u8207\u64f4\u5145\u7136\u5f8c \u7528\u4ee5\u5efa\u9020\u95a9\u5357\u8a9e\u7684\u57fa\u9031\u8ecc\u8de1\u7522\u751f\u6a21\u578b\uff0c\u5e0c\u671b\u4ee5\u95a9\u5357\u8a9e\u4f5c\u70ba\u5de5\u4f5c\u8a9e\u8a00\uff0c\u800c\u5176\u5b83\u7684\u8a9e \u8a00(\u5982\u570b\u8a9e\u3001\u5ba2\u5bb6\u8a9e)\u7684\u57fa\u9031\u8ecc\u8de1\uff0c\u80fd\u5920\u4ee5\u8abf\u9069\u904e\u7684\u95a9\u5357\u8a9e\u6240\u8a13\u7df4\u51fa\u6a21\u578b\uff0c\u4f86\u76f4\u63a5 \u7522\u751f\u3002\u9664\u4e86\u7814\u7a76\u95a9\u5357\u8a9e\u7684 SPC-HMM \u548c ANN \u6a21\u578b\u7684\u5efa\u9020\uff0c\u6211\u5011\u4e5f\u5c0d\u6b64\u4e8c\u7a2e\u6a21\u578b \u4f5c\u4e86\u5167\u5916\u90e8\u6e2c\u8a66\u4e4b\u6bd4\u8f03\uff0c\u53ca\u5617\u8a66\u4f5c\u6a21\u578b\u6df7\u5408\u7684\u7814\u7a76\uff0c\u5e0c\u671b\u80fd\u85c9\u4ee5\u63d0\u5347\u6548\u80fd\u3002\u5c0d\u65bc \u6240\u5efa\u9020\u7684\u95a9\u5357\u8a9e\u57fa\u9031\u8ecc\u8de1 SPC-HMM\u3001ANN\u3001\u548c\u6df7\u5408\u6a21\u578b\uff0c\u6211\u5011\u4e5f\u4f5c\u4e86\u807d\u6e2c\u8a55\u4f30\uff0c \u521d\u6b65\u7684\u7d50\u679c\u986f\u793a\u81ea\u7136\u5ea6\u65b9\u9762\uff0c\u6df7\u5408\u6a21\u578b\u7684\u5206\u6578\u6bd4 ANN \u6a21\u578b\u7684\u597d\uff0c\u800c SPC-HMM \u6a21\u578b\u7684\u5247\u5c45\u672b\uff0c\u6240\u4ee5\u6df7\u5408\u6a21\u578b\u5728\u5c0f\u578b\u8a13\u7df4\u8a9e\u6599\u4e0b\uff0c\u662f\u4e00\u500b\u4e0d\u932f\u7684\u9078\u64c7\u3002 \u95dc\u9375\u8a5e\uff1a \u8a9e\u97f3\u5408\u6210\uff0c\u57fa\u9031\u8ecc\u8de1\uff0c\u985e\u795e\u7d93\u7db2\u8def\uff0c\u96b1\u85cf\u5f0f\u99ac\u53ef\u592b\u6a21\u578b 1. \u524d\u8a00 \u8a9e\u97f3\u5408\u6210\u7684\u7814\u7a76\uff0c\u6700\u8fd1\u6709\u4e0d\u5c11\u4eba\u63a1\u53d6 corpus based \u7684\u7814\u7a76\u65b9\u5411[1,2,3,4]\u3002\u5927 \u5bb6\u4e5f\u8a31\u6703\u8a8d\u70ba\uff0c\u53ea\u8981 copus \u5920\u5927\uff0c\u5c31\u4e0d\u9700\u8981\u4f5c\u97f3\u8abf(\u57fa\u9031\u8ecc\u8de1)\u8abf\u6574\u4e4b\u4fe1\u865f\u8655\u7406\uff0c"
},
"TABREF1": {
"type_str": "table",
"num": null,
"html": null,
"content": "<table><tr><td>\u4ee5 SPC-HMM \u6a21\u578b\u4f86\u4f5c\u4e00\u500b\u8a9e\u53e5\u7684\u57fa\u9031\u8ecc\u8de1\u7684\u5408\u6210\uff0c\u8f38\u5165\u7684\u662f\u8072\u8abf\u5e8f\u5217\u800c \u4ee3\u8868\u672c\u97f3\u7bc0\u5728\u6574\u53e5\u8a71\u4e2d\u4e4b\u6642\u9593\u9032\u5ea6\uff0c\u6b64\u53c3\u6578\u76f8\u7576\u65bc\u50b3\u5165\u97fb\u5f8b\u72c0\u614b\u7684\u8cc7\u8a0a\u3002\u4e0a\u8ff0\u7684 \u8868 3 \u95a9\u5357\u8a9e\u97fb\u6bcd\u4e4b\u7c97\u5206\u985e(\u901a\u7528\u62fc\u97f3\u7b26\u865f)</td></tr><tr><td>\u6c92\u6709\u57fa\u9031\u8ecc\u8de1\u91cf\u5316\u78bc\u5b57\u7684\u8cc7\u6599(\u9019\u548c\u8a13\u7df4\u968e\u6bb5\u7684\u60c5\u6cc1\u4e0d\u540c)\uff0c\u56e0\u6b64\u7576\u5c0d\u65bc\u7b2c t \u500b\u97f3 \u8a9e\u5883\u53c3\u6578\u5171\u4f7f\u7528\u4e86 28 \u500b bits\uff0c\u8a73\u7d30\u60c5\u5f62\u5982\u8868 1 \u6240\u793a\uff0c\u8868\u4e2d\u5f9e\u5de6\u8d77\u4f9d\u5e8f\u70ba\u8f38\u5165\u5c64 \u985e\u5225 \u97fb\u6bcd</td></tr><tr><td>1 \u7bc0\u7684\u8072\u8abf\uff0c\u8981\u4ee5\u516c\u5f0f(1)\u4f86\u7d44\u5408\u51fa\u89c0\u6e2c\u7b26\u865f\u6642\uff0c\u6703\u6709\u516b\u7a2e\u89c0\u6e2c\u7b26\u865f\u53ef\u4f9b\u9078\u64c7\uff0c\u6b64 \u7a7a\u97fb\u6bcd \u6642\u5fc5\u9808\u5c07\u8a13\u7df4\u968e\u6bb5\u7684\u6700\u4f73\u8def\u5f91\u641c\u5c0b\u4e4b\u7dad\u7279\u6bd4\u6f14\u7b97\u6cd5\u4f5c\u4fee\u6b63\uff0c\u5c07\u539f\u672c\u7531\u6642\u9593\u8ef8\u548c\u72c0 2 -a, -ia, -ua</td></tr><tr><td>\u614b\u8ef8\u69cb\u6210\u7684\u641c\u5c0b\u5e73\u9762\uff0c\u64f4\u5145\u6210\u6642\u9593\u8ef8\u3001\u72c0\u614b\u8ef8\u548c\u8ecc\u8de1\u91cf\u5316\u78bc\u5b57\u8ef8\u4e4b\u4e09\u5ea6\u641c\u5c0b\u7a7a \u4e0a\u500b\u97f3\u7bc0 \u8072\u8abf \u4e0a\u500b\u97f3\u7bc0 \u97fb\u6bcd\u985e\u5225 \u672c\u97f3\u7bc0 \u8072\u8abf \u672c\u97f3\u7bc0 \u8072\u6bcd \u672c\u97f3\u7bc0 \u97fb\u6bcd 1 \uf02b \u4e0b\u500b\u97f3\u7bc0 \u4e0b\u500b\u97f3\u7bc0 t N \u8072\u8abf \u8072\u6bcd\u985e\u5225 \u9593\uff0c\u518d\u914d\u5408 HMM \u6a21\u578b\u7684 a ij \u3001b j (k)\u7b49\u53c3\u6578\uff0c\u4ee5\u627e\u51fa\u6700\u4f73\u7684\u4e09\u5ea6\u641c\u5c0b\u7a7a\u9593\u88e1\u7684\u8def\u5f91\uff0c \u518d\u4f5c\u56de\u6714(back tracking)\uff0c\u4ee5\u78ba\u5b9a\u5404\u97f3\u7bc0\u6240\u9078\u5230\u57fa\u9031\u8ecc\u8de1\u91cf\u5316\u78bc\u5b57\u3002\u5be6\u4f5c\u4e0a\uff0c\u53ef bits 3 4 3 5 6 1 3 3</td></tr><tr><td>\u4f9d\u4e0a\u6e38\u6587\u5b57\u5206\u6790\u6240\u5f97\u7684\u547c\u5438\u7fa4\u3001\u8a5e\u908a\u754c\u8a0a\u606f\u4f86\u76f4\u63a5\u8a2d\u5b9a\u5404\u97f3\u7bc0\u6240\u505c\u7559\u7684\u72c0\u614b\uff0c\u5982 \u9805\u76ee\u548c\u5176\u6240\u4f54\u7684 bit \u6578\u3002\u5176\u4e2d\u524d\u4e00\u500b\u97f3\u7bc0\u7684\u97fb\u6bcd\u985e\u5225\u4f54 4 bits\uff0c\u56e0\u70ba\u5b83\u88ab\u7c97\u5206\u985e\u6210</td></tr><tr><td>\u6b64\u53ef\u7522\u751f\u51fa\u66f4\u81ea\u7136\u7684\u53e5\u5b50\u57fa\u9031\u8ecc\u8de1\u3002 12 \u985e\uff0c\u4e0b\u4e00\u500b\u97f3\u7bc0\u7684\u8072\u6bcd\u985e\u5225\u4f54 3 bits\uff0c\u56e0\u70ba\u6709 6 \u500b\u8072\u6bcd\u4e4b\u7c97\u5206\u985e\u985e\u5225\uff0c\u672c\u97f3\u7bc0</td></tr><tr><td>\u8072\u6bcd\u4f54 5 bits\uff0c\u56e0\u70ba\u6709 18 \u500b\u8072\u6bcd\u4e4b\u7d30\u5206\u985e\uff0c\u672c\u97f3\u7bc0\u97fb\u6bcd\u4f54 6 bits\uff0c\u56e0\u70ba\u6709 60 \u500b\u97fb</td></tr><tr><td>\u6bcd\u4e4b\u7d30\u5206\u985e\u3002\u672c\u97f3\u7bc0\u53ca\u524d\u5f8c\u5169\u97f3\u7bc0\u7684\u8072\u8abf\u4e09\u500b\u9805\u76ee\u90fd\u5404\u4f54 3 bits\uff0c\u56e0\u70ba\u95a9\u5357\u8a9e\u6709 4. \u53e5\u5b50\u57fa\u9031\u8ecc\u8de1 ANN \u6a21\u578b 7 \u500b\u8072\u8abf\u3002\u8868\u4e2d\u53e6\u4e00\u9805\u76ee t/(N+1) \u7528\u4ee5\u6307\u793a\u672c\u97f3\u7bc0\u5728\u53e5\u5b50\u88e1\u7684\u4f4d\u7f6e\uff0cN \u4ee3\u8868\u53e5\u5b50</td></tr><tr><td>\u672c\u6587\u4f9d\u64da\u524d\u4eba\u7814\u7a76 ANN \u4f86\u7522\u751f\u570b\u8a9e\u8a9e\u53e5\u57fa\u9031\u8ecc\u8de1\u7684\u7d93\u9a57[12]\uff0c\u4f5c\u9032\u4e00\u6b65\u7684 \u7684\u7e3d\u5b57\u6578\uff0c\u9019\u500b\u9805\u76ee\u7528\u4e00\u500b\u6d6e\u9ede\u6578\u503c\u8868\u793a\uff0c\u4e0d\u50cf\u5176\u4ed6\u9805\u76ee\u662f\u7528\u4e8c\u9032\u4f4d\u6578\u503c\u8868\u793a\u3002</td></tr><tr><td>\u7814\u7a76\u6539\u9032\uff0c\u4ee5\u7528\u4f86\u7522\u751f\u95a9\u5357\u8a9e\u8a9e\u53e5\u7684\u57fa\u9031\u8ecc\u8de1\u3002\u9019\u88e1\u6240\u63a1\u7528\u7684\u662f\u905e\u5efb\u5f0f\u985e\u795e\u7d93\u7db2</td></tr><tr><td>\u8def\uff0c\u5176\u7d50\u69cb\u5982\u5716 2 \u6240\u793a\uff0c\u5206\u70ba\u56db\u5c64:\u8f38\u5165\u5c64\u3001\u96b1\u85cf\u5c64\u3001\u96b1\u85cf\u905e\u8ff4\u5c64\u3001\u8f38\u51fa\u5c64\u3002\u8f38 \u8072\u6bcd\u3001\u97fb\u6bcd\u5728\u7d30\u5206\u985e(\u539f\u59cb\u5206\u985e)\u4e4b\u5916\uff0c\u9019\u88e1\u9084\u53e6\u5916\u4f5c\u7c97\u5206\u985e\u7684\u539f\u56e0\u662f\uff0c\u8072\u6bcd</td></tr><tr><td>\uf0e5 \uf03d 16 1 ( \u548c\u97fb\u6bcd\u7684\u7a2e\u985e\u592a\u591a\uff0c\u4f7f\u5f97\u672c\u97f3\u7bc0\u548c\u524d\u5f8c\u97f3\u7bc0\u4e4b\u8072\u6bcd\u3001\u97fb\u6bcd\u7d44\u5408\u7684\u6578\u91cf\u904e\u591a\uff0c\u9019\u610f \uf02d \uf03d 2 16 1 k k ) y x ) Y , X ( d \u5165\u5c64\u6709 28 \u500b\u8f38\u5165\u55ae\u5143\uff0c\u4f86\u8f38\u5165\u8a9e\u5883\u53c3\u6578\uff1b\u8f38\u51fa\u5c64\u6709 16 \u500b\u55ae\u5143\uff0c\u4ee5\u8868\u793a\u4e00\u500b\u97f3\u7bc0 (2) \u4e4b\u57fa\u9031\u8ecc\u8de1(\u5373 16 \u7dad\u5ea6\u7684\u983b\u7387\u5411\u91cf)\uff1b\u96b1\u85cf\u5c64\u7684\u55ae\u5143\u6578\uff0c\u4f9d\u5be6\u9a57\u7d50\u679c\u8a2d\u5b9a\u70ba 30\u3002 \u5473\u6211\u5011\u5fc5\u9808\u6e96\u5099\u76ee\u524d\u4eba\u529b\u96e3\u4ee5\u9054\u6210\u7684\u9f90\u5927\u8a13\u7df4\u8a9e\u6599\uff0c\u5426\u5247\u4e0d\u80fd\u8b93\u6240\u6709\u8072\u6bcd\u3001\u97fb\u6bcd k \u5167\u90e8\u93c8\u7d50\u7684\u6b0a\u91cd\u503c\u9700\u7d93\u7531\u5b78\u7fd2\u4f86\u6c7a\u5b9a\u6578\u503c\uff0c\u9019\u88e1\u4f7f\u7528\u7684\u662f\u905e\u5efb\u5b78\u7fd2\u6f14\u7b97\u6cd5[13]\u3002 \u7d44\u5408\u6709\u8db3\u5920\u7684\u51fa\u73fe\u6b21\u6578\uff0c\u800c\u5fc5\u7136\u6703\u5f71\u97ff\u5230 ANN \u6a21\u578b\u7684\u6548\u80fd[14]\u3002\u6240\u4ee5\u6211\u5011\u63a1\u53d6</td></tr><tr><td>\u81f3\u65bc\u5411\u91cf\u91cf\u5316\u78bc\u66f8\u5927\u5c0f\u7684\u9078\u64c7\uff0c\u5982\u679c\u78bc\u5b57\u8d8a\u591a\u7684\u8a71\uff0c\u5247\u91cf\u5316\u8aa4\u5dee\u6703\u6bd4\u8f03\u5c0f\uff0c\u4f46\u662f \u524d\u5f8c\u97f3\u7bc0\u7684\u8072\u6bcd\u3001\u97fb\u6bcd\u5148\u4f5c\u7c97\u5206\u985e\u518d\u4f5c\u7d44\u5408\u7684\u65b9\u5f0f\uff0c\u4ee5\u6e1b\u5c11\u7d44\u5408\u7684\u6578\u91cf\uff0c\u8b93\u6bcf\u500b</td></tr><tr><td>\u7d44\u5408\u5728\u8a13\u7df4\u8a9e\u6599\u4e2d\u6709\u8db3\u5920\u7684\u51fa\u73fe\u6b21\u6578\u3002\u7c97\u5206\u985e\u50c5\u7528\u65bc\u524d\u5f8c\u97f3\u7bc0\u4e4b\u8072\u6bcd\u3001\u97fb\u6bcd\uff0c\u672c \u5c0d\u65bc\u5f8c\u9762\u7684 HMM \u7684\u8a13\u7df4\u5247\u9700\u8981\u6709\u66f4\u591a\u7684\u8a13\u7df4\u8a9e\u53e5\u4f86\u8a13\u7df4\uff0c\u624d\u80fd\u4f7f HMM \u5167\u90e8\u6e2c \u8a9e \u5883 \u53c3 \u6578 \u8f38 \u5165 \u97f3\u7bc0\u4e4b\u8072\u6bcd\u3001\u97fb\u6bcd\u4ecd\u63a1\u7528\u7d30\u5206\u985e\u3002\u95dc\u65bc\u95a9\u5357\u8a9e\u8072\u6bcd\u7684\u7c97\u5206\u985e\uff0c\u9019\u88e1\u4f9d\u64da\u524d\u4eba\u7814\u7a76 \u8a66\u4e4b\u8aa4\u5dee\u6539\u9032\u3002\u6240\u4ee5\uff0c\u5728\u6709\u9650\u7684\u8a13\u7df4\u8a9e\u53e5\u4e4b\u4e0b\uff0c\u6211\u5011\u9078\u64c7\u5c07\u5404\u500b\u8072\u8abf\u7684\u97f3\u7bc0\u57fa\u9031 \u8ecc\u8de1\u90fd\u91cf\u5316\u6210 8 \u985e\u3002 \u570b\u8a9e\u7c97\u5206\u985e\u7684\u89c0\u5ff5[12, 14]\uff0c\u5206\u985e\u6210\u5982\u8868 2 \u6240\u793a\u7684\u65b9\u5f0f\uff0c\u570b\u8a9e\u548c\u95a9\u5357\u8a9e\u90fd\u6709\u7684\u8072</td></tr><tr><td>\u8868 2 \u95a9\u5357\u8a9e\u8072\u6bcd\u4e4b\u7c97\u5206\u985e(\u901a\u7528\u62fc\u97f3\u7b26\u865f) HMM \u6a21\u578b\u7684\u8a13\u7df4\u8a9e\u53e5\u7576\u7136\u662f\u6108\u591a\u6108\u597d\uff0c\u5982\u679c\u8a13\u7df4\u8a9e\u53e5\u4e0d\u8db3\uff0c\u5c07\u4f7f\u67d0\u4e00\u7a2e\u97f3 \u985e\u5225 \u8072\u6bcd \u7bc0\u8072\u8abf\u4e4b\u7d44\u5408\u6c92\u6709\u51fa\u73fe\u904e\uff0c\u6b64\u6642\u53ef\u7528\u964d\u968e\u6a5f\u5236\u548c\u8cc7\u6599\u5206\u4eab\u4f86\u89e3\u6c7a\u8a9e\u6599\u4e0d\u8db3\u7684\u554f 1 \u96f6\u8072\u6bcd, m, n, l, r, ng, q, v</td></tr><tr><td>\u984c\u3002\u964d\u968e\u6a5f\u5236\u7684\u7b2c\u4e00\u5c64\u8868\u793a\u6c92\u6709\u964d\u968e\uff0c\u5c31\u662f\u4f7f\u7528\u516c\u5f0f(1)\u4f86\u7522\u751f\u51fa\u89c0\u6e2c\u7b26\u865f\uff1b\u7b2c 2 h, s</td></tr><tr><td>3 \u4e8c\u5c64\u662f\uff0c\u53ea\u8003\u616e\u524d\u4e00\u500b\u97f3\u7bc0\u7684\u8072\u8abf\u3001\u672c\u97f3\u7bc0\u7684\u8072\u8abf\u548c\u672c\u97f3\u7bc0\u7684\u57fa\u9031\u8ecc\u8de1\u91cf\u5316\u78bc\u7684 b, d, g \u7d44\u5408\u3002\u7136\u5f8c\u5404\u5c64\u5404\u81ea\u8a13\u7df4\uff0c\u4ee5\u5f97\u5230\u8a72\u5c64\u6240\u5c0d\u61c9\u7684 a ij \u3001b j (k)\u7b49\u53c3\u6578\u3002\u89e3\u6c7a\u8a13\u7df4\u8a9e\u6599 4 z 1 6 \u9ede \u983b \u7387 \u5411 \u91cf 5 p, t, k</td></tr><tr><td>\u4e0d\u8db3\u7684\u65b9\u6cd5\uff0c\u9664\u4e86\u964d\u968e\u6a5f\u5236\u5916\uff0c\u8cc7\u6599\u5206\u4eab\u662f\u53e6\u4e00\u65b9\u6cd5\uff0c\u5176\u4e3b\u8981\u89c0\u5ff5\u662f\u5c07\u4e00\u500b\u89c0\u6e2c \u5716 2 \u905e\u8ff4\u5f0f\u985e\u795e\u7d93\u7db2\u8def\u4e4b\u7d50\u69cb 6 c</td></tr><tr><td>\u7b26\u865f\u7684\u51fa\u73fe\u6a5f\u7387\u5206\u4eab\u7d66\u8ddd\u96e2\u91cf\u6e2c\u4e0a\u6700\u8fd1\u7684\u53e6\u5916\u5e7e\u500b\u89c0\u6e2c\u7b26\u865f\uff0c\u4f86\u63d0\u5347\u672a\u51fa\u73fe\u6216\u51fa</td></tr><tr><td>\u73fe\u6a5f\u7387\u8f03\u5c11\u7684\u89c0\u6e2c\u7b26\u865f\u7684\u6a5f\u7387\u503c\u3002\u6211\u5011\u7684\u4f5c\u6cd5\u662f\uff0c\u4e00\u500b\u97f3\u7bc0\u7d44\u5408\u51fa\u7684\u89c0\u6e2c\u7b26\u865f\uff0c \u5b83\u7684\u51fa\u73fe\u6a5f\u7387\u5206\u4eab\u7d66\u8ddd\u96e2\u6700\u8fd1\u7684\u53e6\u5916\u5169\u500b\uff0c\u76f8\u540c\u8072\u8abf\u7d44\u5408\u4f46\u662f\u7531\u4e0d\u540c\u57fa\u9031\u8ecc\u8de1\u91cf \u6bcd\u653e\u5728\u76f8\u540c\u7684\u985e\u5225\u4e0a\uff0c\u800c\u95a9\u5357\u8a9e\u624d\u6709\u7684/ng, q, v/\uff0c\u56e0\u70ba\u90fd\u662f\u6709\u8072\u7684\u5b50\u97f3\uff0c\u6240\u4ee5\u5c07 \u95dc\u65bc ANN \u6a21\u578b\u7684\u8f38\u5165\uff0c\u672c\u6587\u4f7f\u7528\u4ee5\u97f3\u7bc0\u70ba\u55ae\u4f4d\u7684\u8a9e\u5883\u53c3\u6578\uff1a\u8072\u6bcd\u3001\u97fb\u6bcd\u3001 \u8072\u8abf\u3001\u6642\u9593\u6bd4\u4f8b\u7b49\u53c3\u6578\u3002\u7531\u65bc\u8a9e\u97f3\u662f\u6642\u5e8f\u6027\u7684\u8cc7\u8a0a\u50b3\u905e\uff0c\u6240\u4ee5\u9664\u4e86\u8981\u8003\u616e\u672c\u97f3\u7bc0 \u5b83\u5011\u653e\u5728\u7b2c\u4e00\u985e\u4e0a\u3002\u95dc\u65bc\u95a9\u5357\u8a9e\u97fb\u6bcd\u7684\u7c97\u5206\u985e\uff0c\u8a73\u7d30\u7684\u5206\u985e\u65b9\u5f0f\u5982\u8868 3 \u6240\u793a\uff0c\u96d6</td></tr><tr><td>\u5316\u78bc\u5b57\u6240\u5f62\u6210\u7684\u89c0\u6e2c\u7b26\u865f\uff0c\u5206\u4eab\u7684\u6bd4\u7387\u70ba 0.99, 0.005, 0.005\u3002 \u7684\u8072\u8abf\u7a2e\u985e\u3001\u8072\u6bcd\u985e\u578b\u3001\u97fb\u6bcd\u985e\u578b\uff0c\u4e5f\u8981\u8003\u616e\u5230\u524d\u4e00\u500b\u97f3\u7bc0\u7684\u8072\u8abf\u7a2e\u985e\u548c\u97fb\u6bcd\u985e \u7136\u57fa\u672c\u4e0a\u53c3\u8003\u4e86\u570b\u8a9e\u97fb\u6bcd\u7c97\u5206\u985e\u7684\u89c0\u5ff5\uff0c\u4f46\u6211\u5011\u4e5f\u4f9d\u64da\u767c\u97f3\u53e3\u5f62\u4f5c\u4e86\u4e00\u4e9b\u4fee</td></tr><tr><td>\u578b\uff0c\u4ee5\u53ca\u5f8c\u4e00\u500b\u97f3\u7bc0\u7684\u8072\u8abf\u7a2e\u985e\u548c\u8072\u6bcd\u985e\u578b\uff0c\u6b64\u5916\u4f7f\u7528\u4e86\u4e00\u500b\u6642\u9593\u6bd4\u4f8b\u53c3\u6578\uff0c\u4ee5</td></tr></table>",
"text": ""
},
"TABREF2": {
"type_str": "table",
"num": null,
"html": null,
"content": "<table><tr><td>f</td><td>M j</td><td colspan=\"2\">W \uf03d</td><td colspan=\"2\">H</td><td colspan=\"3\">W \uf0d7 \uf073 H H j A j \uf073</td><td colspan=\"3\">f \uf0d7 \uf0d7 \uf073 H j A j H j \uf073</td><td colspan=\"3\">( ( \uf02b \uf02b 1 1</td><td>W W H H \uf02d \uf02d</td><td>) )</td><td>f \uf0d7</td><td>A j</td><td>, j=1,2,\u2026,16</td><td>(4)</td></tr><tr><td colspan=\"15\">\u5176\u4e2d F S M j f \u8868\u793a 16 \u7dad\u5ea6</td></tr><tr><td colspan=\"15\">\u6a19\u6e96\u5dee\u52a0\u6b0a\u65b9\u5f0f\u6df7\u5408\u5f8c\u7b2c j \u7dad\u5ea6\u7684\u983b\u7387\u503c\uff0c H j f \u8207 A j f \u5206\u5225\u662f F H \u8207 F A \u7684\u7b2c j \u7dad</td></tr><tr><td colspan=\"15\">\u5ea6\u7684\u983b\u7387\u503c\uff0c A j \uf073 \u8868\u793a ANN \u6a21\u578b\u7522\u751f\u7684\u983b\u7387\u5411\u91cf\u7b2c j \u7dad\u5ea6\u4e4b\u6a19\u6e96\u5dee\uff0c H j \uf073 \u8868\u793a HMM</td></tr><tr><td colspan=\"15\">\u6a21\u578b\u7522\u751f\u7684\u983b\u7387\u5411\u91cf\u7b2c j \u7dad\u5ea6\u4e4b\u6a19\u6e96\u5dee\u3002\u516c\u5f0f 4 \u88e1\uff0c\u6211\u5011\u4f9d A j \uf073 \u8207 H</td></tr><tr><td colspan=\"15\">\u9019\u88e1\u7684\u6a21\u578b\u6df7\u5408\u4e0d\u662f\u8981\u628a\u5169\u500b\u6a21\u578b\u5408\u4f75\u6210\u4e00\u500b\u6a21\u578b\uff0c\u518d\u7528\u4ee5\u7522\u751f\u57fa\u9031\u8ecc</td></tr><tr><td colspan=\"15\">\u8de1\uff0c\u800c\u662f\u5c07\u5169\u500b\u6a21\u578b\u5404\u81ea\u7522\u751f\u7684\u8f38\u51fa\u4f5c\u7d44\u5408\uff0c\u4ee5\u5f97\u5230\u4e00\u500b\u65b0\u7684\u8f38\u51fa\u3002\u5305\u62ec\u570b\u8a9e\u7684</td></tr><tr><td colspan=\"15\">\u6f22\u8a9e\u65b9\u8a00\u7684\u96fb\u8166\u8a9e\u97f3\u5408\u6210\u4e0a\uff0c\u904e\u53bb\u7814\u7a76\u8005\u63d0\u51fa\u7684 HMM \u548c ANN \u6a21\u578b\uff0c\u5404\u6709\u5176\u512a</td></tr><tr><td colspan=\"15\">\u7f3a\u9ede\uff0c\u4f5c\u6a21\u578b\u6df7\u5408\u5c31\u662f\u5e0c\u671b\u80fd\u5920\u53d6\u9577\u88dc\u77ed\u4ee5\u63d0\u5347\u5408\u6210\u8a9e\u97f3\u4e4b\u54c1\u8cea\uff0c\u4f8b\u5982\u5169\u7a2e\u6a21\u578b</td></tr><tr><td colspan=\"15\">\u5206\u5225\u5728\u57fa\u9031\u8ecc\u8de1\u7684\u7a69\u5b9a\u6027\u548c\u6d3b\u6f51\u6027\u4e0a\u4f54\u512a\u52e2\uff0c\u5247\u6df7\u5408\u6b64\u5169\u7a2e\u6a21\u578b\u6709\u53ef\u80fd\u7522\u751f\u51fa\u517c</td></tr><tr><td colspan=\"12\">\u5177\u7a69\u5b9a\u6027\u548c\u6d3b\u6f51\u6027\u7684\u8a9e\u97f3\u3002</td><td/><td/></tr><tr><td colspan=\"15\">\u95dc\u65bc\u6df7\u5408\u7684\u65b9\u6cd5\uff0c\u672c\u6587\u7814\u7a76\u5f8c\u53ea\u627e\u5230\u5169\u7a2e\u6bd4\u8f03\u6709\u5be6\u969b\u6548\u679c\u7684\u65b9\u5f0f\uff0c\u5728\u6b64\u7a31\u70ba:</td></tr><tr><td colspan=\"15\">\u7c21\u55ae\u52a0\u6b0a\u65b9\u5f0f\u548c 16 \u7dad\u5ea6\u6a19\u6e96\u5dee\u52a0\u6b0a\u65b9\u5f0f\u3002\u7c21\u55ae\u52a0\u6b0a\u65b9\u5f0f\u5c31\u662f\u5c07 HMM \u548c ANN</td></tr><tr><td colspan=\"15\">\u6a21\u578b\u6240\u7522\u751f\u7684\u57fa\u9031\u8ecc\u8de1\u503c\uff0c\u76f4\u63a5\u4f9d\u7167\u5404\u7a2e\u52a0\u6b0a\u6bd4\u4f8b\u53bb\u7d44\u5408\u51fa\u65b0\u7684\u57fa\u9031\u8ecc\u8de1\u503c\uff1b16</td></tr><tr><td colspan=\"15\">\u7dad\u5ea6\u6a19\u6e96\u5dee\u52a0\u6b0a\u65b9\u5f0f\uff0c\u5247\u662f\u91dd\u5c0d\u5169\u500b\u6a21\u578b\u7522\u751f\u7684\u57fa\u9031\u8ecc\u8de1\u4e4b 16 \u500b\u7dad\u5ea6\u4f86\u5206\u5225\u4f5c</td></tr><tr><td colspan=\"15\">\u52a0\u6b0a\uff0c\u97f3\u7bc0\u7684\u5404\u500b\u7dad\u5ea6\u5206\u5225\u7576\u6210\u4e00\u500b\u96c6\u5408\u4f86\u6c42\u51fa\u6a19\u6e96\u5dee\uff0c\u56e0\u6b64\u5171\u6709 16 \u500b\u6a19\u6e96\u5dee\uff0c</td></tr><tr><td colspan=\"15\">\u518d\u5229\u7528\u5169\u500b\u6a21\u578b\u5404\u81ea\u7684 16 \u500b\u6a19\u6e96\u5dee\uff0c\u4f5c\u70ba\u6b0a\u91cd\u6bd4\u4f8b\u3002\u7c21\u55ae\u52a0\u6b0a\u65b9\u5f0f\u7684\u516c\u5f0f\u548c 16</td></tr><tr><td colspan=\"15\">\u7dad\u5ea6\u6a19\u6e96\u5dee\u52a0\u6b0a\u65b9\u5f0f\u7684\u516c\u5f0f\u5206\u5225\u5982\u4e0b\u6240\u5217:</td></tr><tr><td>F</td><td>s</td><td>W \uf03d</td><td colspan=\"2\">H</td><td colspan=\"2\">F \uf0d7</td><td>H</td><td colspan=\"2\">( \uf02b</td><td>1</td><td colspan=\"2\">W \uf02d</td><td>H</td><td>)</td><td>F \uf0d7</td><td>A</td><td>(3)</td></tr></table>",
"text": "\u8868\u793a\u7c21\u55ae\u52a0\u6b0a\u65b9\u5f0f\u6df7\u5408\u5f8c\u7684\u57fa\u9031\u8ecc\u8de1\u983b\u7387\u5411\u91cf\uff0cW H \u8868\u793a HMM \u6a21\u578b\u7684\u6b0a \u91cd\uff0cF H \u8207 F A \u5206\u5225\u8868\u793a HMM \u548c ANN \u6a21\u578b\u7522\u751f\u51fa\u7684\u983b\u7387\u5411\u91cf\uff1b"
},
"TABREF3": {
"type_str": "table",
"num": null,
"html": null,
"content": "<table><tr><td>\u4f9d\u64da\u516c\u5f0f(3)\u8207(4)\uff0c\u63a5\u8457\u6211\u5011\u9032\u884c\u6a21\u578b\u6df7\u5408\u4e4b\u5be6\u9a57\uff0c\u5728\u5167\u90e8\u6e2c\u8a66(inside test) \u88686 \u807d\u6e2c\u7528\u7684\u95a9\u5357\u8a9e\u6587\u53e5 0.0530 SPC-HMM \u6a21\u578b\u5177\u6709\u6bd4\u8f03\u6e96\u78ba\u7684\u9810\u6e2c\u80fd\u529b\u3002 \u6587\u53e5 \u901a\u7528\u62fc\u97f3(\u8072\u8abf\u63a1\u50b3\u7d71\u7de8\u865f) 8. \u7d50\u8ad6</td></tr><tr><td>1 \u6211\u6709\u6eff\u8179\u7684\u5fc3\u8072 qua-1 wu-3 &lt;mua-1 bak-4&gt; e-7 &lt;sim-7 siann-1&gt;. \u6642\uff0c\u4f7f\u7528\u7684\u6e2c\u8a66\u8a9e\u53e5\u5c31\u662f\u6a21\u578b\u8a13\u7df4\u6240\u7528\u7684 643 \u500b\u8a9e\u53e5\uff0c\u800c\u5728\u5916\u90e8\u6e2c\u8a66(outside test) \u6642\uff0c\u5247\u4f7f\u7528\u53e6\u5916\u7684 65 \u500b\u672a\u53c3\u52a0\u6a21\u578b\u8a13\u7df4\u7684\u8a9e\u53e5\u3002\u4e00\u500b\u97f3\u7bc0\u7684\u539f\u59cb\u57fa\u9031\u8ecc\u8de1\u548c\u6a21 \u578b\u9810\u6e2c\u8a72\u97f3\u7bc0\u6240\u8f38\u51fa\u7684\u57fa\u9031\u8ecc\u8de1\uff0c\u5169\u8005\u4e4b\u9593\u4ee5\u516c\u5f0f(2)\u4f86\u91cf\u6e2c\u8aa4\u5dee\u8ddd\u96e2\u3002\u7576\u63a1\u7c21 \u5982\u679c\u518d\u8003\u616e\u5404\u7a2e\u4e0d\u540c\u7684 W H \u6b0a\u91cd\u503c\u4f86\u4e86\u89e3\u6df7\u5408\u6a21\u578b\u7684\u6548\u80fd\uff0c\u5247\u7531\u8868 4 \u548c\u8868 5 \u53ef\u770b\u51fa\u5169\u7a2e\u52a0\u6b0a\u65b9\u5f0f\u90fd\u5448\u73fe\u76f8\u540c\u7684\u8da8\u52e2\uff0c\u4ee5\u9805\u76ee AVG \u4f86\u770b\uff0c\u5728\u5167\u90e8\u6e2c\u8a66\u65b9\u9762\uff0c 2 \u6709\u8a71\u60f3\u8981\u5c0d\u4f60\u8b1b &lt;wu-3 we-7&gt; &lt;siunn-3 veh-8&gt; &lt;dui-2 li-1&gt; gong-2. \u672c\u6587\u5c07\u904e\u53bb\u7814\u7a76\u570b\u8a9e\u57fa\u9031\u8ecc\u8de1\u7522\u751f\u7684 SPC-HMM \u6a21\u578b\u548c ANN \u6a21\u578b\u4f5c\u66f4\u6539 3 \u7121\u8b1b\u8ab0\u4eba\u6703\u77e5\u5f71 vo-7 gong-2 &lt;siann-1 lang-5&gt; e-3 &lt;zai-7 yann-2&gt;. 4 \u6709\u5565\u9ebc\u4ee3\u8a8c wu-3 &lt;siann-1 mi-1&gt; &lt;dai-3 zi-3&gt;. \u8207\u64f4\u5145\uff0c\u4ee5\u7528\u4f86\u8a13\u7df4\u53ca\u5efa\u7acb\u95a9\u5357\u8a9e\u7684\u57fa\u9031\u8ecc\u8de1\u6a21\u578b\uff0c\u8003\u616e\u4e86\u66f4\u591a\u7684\u95a9\u5357\u8a9e\u8072\u8abf\uff0c</td></tr><tr><td>\u55ae\u52a0\u6b0a\u65b9\u5f0f\u6642\uff0c\u6211\u5011\u5f97\u5230\u5982\u8868 4 \u6240\u793a\u7684\u8aa4\u5dee\u6578\u503c\uff1b\u800c\u7576\u63a1 16 \u7dad\u5ea6\u6a19\u6e96\u5dee\u52a0\u6b0a\u65b9 \u6700\u597d\u7684\u6b0a\u91cd\u503c\u90fd\u662f\u4ee4 W H = 0.25\uff0c\u800c\u5728\u5916\u90e8\u6e2c\u8a66\u65b9\u9762\uff0c\u6700\u597d\u7684\u6b0a\u91cd\u503c\u5247\u662f\u4ee4 W H = 5 \u6211\u650f\u7e3d\u807d\u7121 qua-2 &lt;long-1 zong-1&gt; &lt;tiann-7 vo-5&gt;. \u53ca\u8072\u6bcd\u3001\u97fb\u6bcd\u7684\u7c97\u5206\u985e\u554f\u984c\u3002\u6b64\u5916\uff0c\u6211\u5011\u4e5f\u6bd4\u8f03\u4e86\u5169\u7a2e\u6a21\u578b\u7684\u6548\u80fd\uff0c\u53ca\u5617\u8a66\u4f5c\u6a21</td></tr><tr><td>\u5f0f\u6642\uff0c\u6211\u5011\u5f97\u5230\u5982\u8868 5 \u6240\u793a\u7684\u8aa4\u5dee\u6578\u503c\u3002 0.1\uff0c\u4ee5\u7372\u5f97\u8f03\u5c0f\u7684\u9810\u6e2c\u8aa4\u5dee\u5e73\u5747\u503c\u3002\u5728\u5167\u90e8\u6e2c\u8a66\u6642\uff0c\u4f7f\u7528\u6df7\u5408\u6a21\u578b\u53ef\u4ee5\u8b93\u5e73\u5747 6 \u8acb\u6c5d\u8b1b\u5361\u5927\u8072 &lt;ciann-1 li-2&gt; gong-1 kah-8 &lt;dua-3 siann-1&gt;. \u578b\u7684\u6df7\u5408\uff0c\u5e0c\u671b\u80fd\u5920\u85c9\u4ee5\u63d0\u5347\u6548\u80fd\uff0c\u6240\u5617\u8a66\u7684\u5169\u7a2e\u6df7\u5408\u65b9\u5f0f\u662f\uff0c\u7c21\u55ae\u52a0\u6b0a\u65b9\u5f0f\u3001</td></tr><tr><td>\u8868 4 \u7c21\u55ae\u52a0\u6b0a\u5f0f\u6a21\u578b\u6df7\u5408\u4e4b\u9810\u6e2c\u8aa4\u5dee Inside test Out test AVG STD MAX AVG STD -0.1 0.0396 0.0193 0.1579 0.0545 0.0384 0.4299 \u6b0a\u91cd W H MAX 0 \u9810\u6e2c\u8aa4\u5dee\uff0c\u5f9e ANN \u6a21\u578b\u7684 0.0386 \u964d\u81f3 0.0377\uff0c\u4e0b\u964d\u5e45\u5ea6\u7d04\u70ba 2.3%\uff1b\u5728\u5916\u90e8\u6e2c \u8a66\u6642\uff0c\u5247\u53ef\u5f9e ANN \u6a21\u578b\u7684 0.0530 \u964d\u81f3 0.0528\uff0c\u4e0b\u964d\u5e45\u5ea6\u53ea\u6709 0.4%\u3002\u6240\u4ee5\u9019\u88e1 \u6240\u7814\u7a76\u7684\u6df7\u5408\u65b9\u5f0f\uff0c\u4e26\u4e0d\u80fd\u5920\u5927\u5e45\u5ea6\u63d0\u5347\u6548\u80fd\uff0c\u5176\u539f\u56e0\u4e4b\u4e00\u61c9\u662f\uff0c\u5169\u7a2e\u6a21\u578b\u6240\u7522 \u548c\u5341\u516d\u7dad\u5ea6\u6a19\u6e96\u5dee\u52a0\u6b0a\u65b9\u5f0f\u3002\u7d93\u7531\u5167\u3001\u5916\u90e8\u7684\u6e2c\u8a66\u5be6\u9a57\u5f8c\uff0c\u7d50\u679c\u986f\u793a\u6df7\u5408\u6a21\u578b\u8207 \u683c)\u30015.9 \u4ee5\u4e0b(\u52a3\u7b49)\u3002\u81ea\u7136\u5ea6\u807d\u6e2c\u6642\uff0c\u96a8\u6a5f\u64ad\u653e\u4e09\u7a2e\u57fa\u9031\u8ecc\u8de1\u6a21\u578b\u5408\u6210\u51fa\u7684\u8a9e\u97f3 ANN \u6a21\u578b\u7684\u6548\u80fd\u90fd\u6bd4 SPC-HMM \u6a21\u578b\u7684\u597d\u5f88\u591a\uff0c\u4e26\u4e14\u6df7\u5408\u6a21\u578b\u7684\u53c8\u6bd4 ANN \u6a21 \u6a94\uff0c\u7136\u5f8c\u518d\u9078\u64c7\u4ee5\u81ea\u7136\u5ea6\u6700\u9ad8\u7684\u8a9e\u97f3\u6a94\u4f5c\u53ef\u8fa8\u5ea6\u8a55\u4f30\uff0c\u8a66\u807d\u8005\u6bcf\u807d\u5b8c\u4e00\u53e5\u5c31\u5c07\u8a72 \u578b\u7684\u597d\u4e00\u4e9b\u3002 \u53e5\u8986\u8ff0\u4e00\u904d\uff0c\u4ee5\u4fbf\u8a18\u9304\u807d\u932f\u7684\u97f3\u7bc0\uff0c\u807d\u5b8c\u5168\u90e8\u8a9e\u53e5\u5f8c\u5c31\u53ef\u8a08\u7b97\u53ef\u8fa8\u5ea6\uff0c\u53ef\u8fa8\u5ea6\u5b9a \u751f\u51fa\u7684\u57fa\u9031\u8ecc\u8de1\u4e4b\u9593\uff0c\u5df2\u7d93\u5177\u6709\u975e\u5e38\u5f37\u7684\u76f8\u95dc\u6027\u3002 \u7fa9\u70ba\u807d\u5c0d\u7684\u97f3\u7bc0\u6578\u4f54\u7e3d\u97f3\u7bc0\u6578\u7684\u6bd4\u7387\uff0c\u6700\u5f8c\u4f9d\u64da 15 \u4eba\u7684\u8a55\u5206\u4f86\u7b97\u51fa\u5e73\u5747\u503c\u3002\u7d50 \u6b64\u5916\uff0c\u6211\u5011\u4e5f\u628a\u6a21\u578b\u7522\u751f\u51fa\u7684\u57fa\u9031\u8ecc\u8de1\u62ff\u53bb\u5408\u6210\u51fa\u8a9e\u97f3\u4fe1\u865f\uff0c\u518d\u4f5c\u4e3b\u89c0\u7684 0.0386 0.0188 0.1563 0.0530 0.0386 0.4324 0.1 0.0380 0.0185 0.1601 0.0528 0.0394 0.4350 0.2 0.0377 0.0185 0.1683 0.0539 0.0407 0.4376 0.25 0.0377 0.0186 0.1725 0.0549 0.0415 0.4390 0.3 0.0377 0.0188 0.1767 0.0561 0.0425 0.4403 0.4 7. \u807d\u6e2c\u8a55\u4f30 \u679c\u6211\u5011\u5f97\u5230\u5982\u8868 7 \u6240\u793a\u7684\u6578\u503c\uff0c\u7531\u6b64\u6578\u503c\u53ef\u77e5\uff0cANN \u6a21\u578b\u7684\u81ea\u7136\u5ea6 7.2 \u5206\u6bd4 \u8868 7 \u5408\u6210\u8a9e\u53e5\u7684\u807d\u6e2c\u8a55\u5206 \u807d\u6e2c\u8a55\u4f30\uff0c\u7d50\u679c\u5728\u81ea\u7136\u5ea6\u65b9\u9762\uff0c\u6df7\u5408\u6a21\u578b\u5f97\u5230 7.4 \u6e2c\u8aa4\u5dee\uff0c\u5728\u5167\u3001\u5916\u90e8\u6e2c\u8a66\u88e1\u90fd\u6bd4\u53e6\u4e8c\u8005\u5dee\u5f88\u591a\u3002\u5728\u53ef\u8fa8\u5ea6\u65b9\u9762\uff0c\u7d50\u679c\u986f\u793a 96% 0.0380 0.0195 0.1852 0.0592 0.0450 0.4431 0.6 0.0395 0.0217 0.2023 0.0674 0.0517 0.4488 \u7531\u65bc\u672c\u6587\u7684\u7814\u7a76\u4e3b\u984c\u662f\u57fa\u9031\u8ecc\u8de1\u4e4b\u7522\u751f\uff0c\u6240\u4ee5\u5728\u6b64\u521d\u6b65\u7684\u807d\u6e2c\u8a55\u4f30\u88e1\uff0c\u5176\u5b83 \u6df7\u5408\u6a21\u578b ANN\u6a21\u578b SPC-HMM\u6a21\u578b \u7684\u5b57\u53ef\u88ab\u807d\u5c0d\u3002\u7531\u65bc\u672c\u6587\u7684\u7814\u7a76\u88e1\uff0c\u8a13\u7df4\u7684\u8a9e\u53e5\u5171\u53ea\u6709 3,696 \u500b\u97f3\u7bc0\uff0c\u7b97\u662f\u5c0f\u578b</td></tr><tr><td>0.8 1.0 \u7684\u97fb\u5f8b\u53c3\u6578(\u5982\u97f3\u9577\u3001\u97f3\u91cf)\u7684\u7522\u751f\uff0c\u53ca\u4fe1\u865f\u6ce2\u5f62\u7684\u5408\u6210\uff0c\u90fd\u662f\u76f4\u63a5\u6cbf\u7528\u4ee5\u524d\u7684\u6210 0.0421 0.0248 0.2197 0.0776 0.0600 0.4548 \u81ea\u7136\u5ea6 7.4 7.2 6.9 \u8a9e\u6599\u7684\u60c5\u6cc1\uff0c\u6240\u4ee5\u5728\u5c0f\u578b\u8a9e\u6599\u7684\u60c5\u6cc1\u4e0b\uff0c\u6df7\u5408\u6a21\u578b\u53ef\u8aaa\u662f\u5efa\u9020\u57fa\u9031\u8ecc\u8de1\u6a21\u578b\u7684\u4e0d 0.0456 0.0282 0.2373 0.0891 0.0694 0.4826 \u679c[12,15,16]\u3002\u97f3\u9577\u3001\u97f3\u91cf\u7b49\u97fb\u5f8b\u53c3\u6578\u7684\u7522\u751f\uff0c\u662f\u63a1\u7528\u7c21\u55ae\u7684\u898f\u5247\u5f0f\u4f5c\u6cd5\uff0c\u800c\u4fe1 \u53ef\u8fa8\u5ea6 96.0% \u932f\u9078\u64c7\u3002</td></tr><tr><td>\u865f\u6ce2\u5f62\u5408\u6210\u88e1\uff0c\u6bcf\u500b\u5408\u6210\u55ae\u5143(\u97f3\u7bc0)\u53ea\u7528\u4e00\u500b\u56fa\u5b9a\u7684\u5e73\u8abf\u767c\u97f3\uff0c\u5408\u6210\u65b9\u6cd5\u5247\u662f SPC-HMM \u6a21\u578b\u7684 6.9 \u5206\u597d\u4e00\u4e9b\uff0c\u800c\u6df7\u5408\u6a21\u578b\u7684\u81ea\u7136\u5ea6 7.4 \u5206\u53c8\u6bd4 ANN \u6a21\u578b\u7684\u597d TIPW[16]\uff0c\u5b83\u53ef\u8aaa\u662f PSOLA \u7684\u6539\u9032\u4f5c\u6cd5\u3002\u57fa\u9031\u8ecc\u8de1\u7684\u7522\u751f\uff0c\u5206\u5225\u4f7f\u7528\u4e86 ANN W H = 0.25\uff0c\u56e0\u70ba\u5b83\u662f\u5167\u90e8\u6e2c\u8a66\u88e1 AVG \u9805\u6700\u597d\u7684\u6b0a\u503c\uff0c\u5728\u6b64\u4e0d\u63a1\u5916\u90e8\u6e2c\u8a66\u7684\u6b0a\u503c\uff0c \u9762\uff0c96%\u53ef\u4ee5\u88ab\u807d\u5c0d\uff0c\u6211\u5011\u89ba\u5f97\u662f\u4e0d\u932f\u7684\uff0c\u56e0\u70ba\u901a\u5e38\u77ed\u7684\u8a9e\u53e5\u6bd4\u8f03\u96e3\u807d\u5f97\u61c2\u3002 \u6a21\u578b\u3001SPC-HMM \u6a21\u578b\u3001\u53ca\u6df7\u5408\u6a21\u578b\uff0c\u6df7\u5408\u65b9\u5f0f\u63a1\u7c21\u55ae\u52a0\u6b0a\u5f0f\uff0c\u6b0a\u91cd\u503c\u5247\u8a2d\u70ba \u4e00\u4e9b\uff0c\u9019\u525b\u597d\u548c\u8868 4 \u548c 5 \u88e1\u7684\u9810\u6e2c\u8aa4\u5dee\u6578\u503c\uff0c\u5448\u73fe\u4e00\u81f4\u7684\u8d70\u52e2\u3002\u53e6\u5916\u5728\u53ef\u8fa8\u5ea6\u65b9 9. \u81f4\u8b1d</td></tr><tr><td>\u56e0\u70ba\u5916\u90e8\u6e2c\u8a66\u7684\u53e5\u5b50\u6578\u91cf\u4e0d\u5920\u591a\uff0c\u53ef\u4fe1\u5ea6\u6211\u5011\u4ecd\u5b58\u61f7\u7591\u3002\u5c0d\u65bc\u6a21\u578b\u8f38\u51fa\u7684 16 \u7dad \u4e0d\u904e\uff0cSPC-HMM \u6a21\u578b\u7684\u57fa\u9031\u8ecc\u8de1\u9810\u6e2c\u8aa4\u5dee\uff0c\u6bd4\u53e6\u4e8c\u8005\u5927\u8a31\u591a\uff0c\u800c\u6df7\u5408\u6a21\u578b \u5ea6\u983b\u7387\u5411\u91cf\uff0c\u6211\u5011\u518d\u65bc\u6240\u95dc\u5fc3\u7684\u6642\u9593\u9ede\u9644\u8fd1\uff0c\u627e\u51fa\u76f8\u9130\u7684 4 \u500b\u7dad\u5ea6\u7684\u983b\u7387\u503c\uff0c\u4f5c Lagrange \u5167\u5dee\uff0c\u5c31\u53ef\u6c42\u5f97\u8a72\u6642\u9593\u9ede\u4e0a\u7684\u9031\u671f\u9577\u5ea6\u3002\u81f3\u65bc\u6587\u53e5\u5206\u6790\u7684\u8655\u7406\uff0c\u6211\u5011\u53ef \u7684\u9810\u6e2c\u8aa4\u5dee\u50c5\u6bd4 ANN \u6a21\u578b\u7684\u6539\u9032\u4e00\u4e9b\u4e9b\uff0c\u4f46\u662f\u5728\u807d\u6e2c\u4e0a\uff0cSPC-HMM \u6a21\u578b\u7684 6.9</td></tr><tr><td>\u8aaa\u662f\u5e7e\u4e4e\u6c92\u6709\u4f5c\uff0c\u56e0\u70ba\u6211\u5011\u76f4\u63a5\u628a\u5982\u8868 6 \u6240\u793a\u7684\u62fc\u97f3\u6587\u53e5\uff0c\u8f38\u5165\u7d66\u6240\u5efa\u9020\u7684\u8a9e\u97f3</td></tr><tr><td>\u5408\u6210\u7cfb\u7d71\uff0c\u4e0d\u904e\u9019\u4e9b\u6587\u53e5\u672a\u53c3\u52a0\u6a21\u578b\u4e4b\u8a13\u7df4\u3002</td></tr><tr><td>\u53c3\u8207\u807d\u6e2c\u7684\u6e2c\u8a66\u8005\u70ba 15 \u4eba\uff0c\u5176\u4e2d 10 \u4eba\u70ba\u5404\u5be6\u9a57\u5ba4\u7684\u7814\u7a76\u751f\uff0c\u5e74\u9f61\u5728 20~30</td></tr><tr><td>\u6b72\uff0c\u53e6\u5916 5 \u4eba\u662f\u5e74\u9f61\u5728 30~50 \u6b72\u7684\u9130\u5c45\uff0c\u6211\u5011\u4ee5\u53ef\u8fa8\u5ea6\u548c\u81ea\u7136\u5ea6\u4f86\u8861\u91cf\u6240\u5408\u6210\u51fa</td></tr><tr><td>\u4f86\u7684\u8a9e\u97f3\u54c1\u8cea\uff0c\u53ef\u8fa8\u5ea6\u662f\u6307\u6e2c\u8a66\u8005\u807d\u5f97\u61c2\u5408\u6210\u8a9e\u97f3\u7684\u7a0b\u5ea6\uff0c\u81ea\u7136\u5ea6\u662f\u6307\u5408\u6210\u8a9e\u97f3</td></tr><tr><td>\u50cf\u4eba\u985e\u8a9e\u97f3\u7684\u7a0b\u5ea6\uff0c\u9019\u88e1\u5206\u6210\u4e94\u500b\u8a55\u5206\u6bb5\u4f9b\u8a66\u807d\u8005\u4f5c\u70ba\u8a55\u5206\u6a19\u6e96\uff1a9.0~10(\u975e\u5e38 SPC-HMM \u6a21\u578b\u5247\u6bd4\u8f03\u7121\u6b64\u7a2e\u60c5\u6cc1(\u8f03\u7a69\u5b9a)\uff0c\u6240\u4ee5\u6df7\u5408\u6a21\u578b\u5728\u807d\u6e2c\u4e0a\uff0c\u6703\u8868\u73fe\u5f97 \u50cf\u4eba\u985e\u8a9e\u97f3)\u30018.0~8.9(\u5f88\u50cf\u4eba\u985e\u8a9e\u97f3)\u3001 7.0~7.9(\u63a5\u8fd1\u4eba\u985e\u8a9e\u97f3)\u30016.0~6.9(\u53ca \u6709\u4e00\u4e9b\u6539\u9032\u3002</td></tr></table>",
"text": "\u5247\u76f8\u7576\u65bc\u7dda\u6027 6.53Hz \u7684\u5dee\u7570\uff1b\u53e6\u5916\u5728 STD \u548c MAX \u9805\uff0cANN \u6a21\u578b\u7684\u8aa4\u5dee \u4e5f\u90fd\u662f\u6bd4 SPC-HMM \u6a21\u578b\u7684\u597d\u5f88\u591a\uff0c\u6240\u4ee5\u500b\u5225\u7684\u6a21\u578b\u4f86\u8aaa\uff0cANN \u6a21\u578b\u7684\u78ba\u6bd4 \u5206\u4e5f\u4e0d\u6703\u6bd4 ANN \u6a21\u578b\u7684 7.2 \u5206\u5dee\u5f88\u591a\uff0c\u800c\u6df7\u5408\u6a21\u578b\u7684 7.4 \u5206\uff0c\u5247\u4e5f\u660e\u986f\u7684\u6709\u6539 \u9032\u3002\u9019\u6a23\u7684\u73fe\u8c61\uff0c\u6211\u5011\u8a8d\u70ba\u662f\u56e0\u70ba\uff0cSPC-HMM \u6a21\u578b\u548c ANN \u6a21\u578b\u7684\u8f38\u51fa\u4e4b\u9593\uff0c \u57fa\u672c\u4e0a\u5177\u6709\u975e\u5e38\u5f37\u7684\u76f8\u95dc\u6027\uff0c\u800c SPC-HMM \u6a21\u578b\u7684\u9810\u6e2c\u8aa4\u5dee\uff0c\u5177\u6709\u6bd4 ANN \u6a21\u578b \u5927\u8a31\u591a\u7684\u76f4\u6d41\u6210\u5206(\u96fb\u5b78\u89c0\u5ff5)\uff0c\u9019\u61c9\u662f\u8087\u56e0\u65bc\u5411\u91cf\u91cf\u5316\u8655\u7406\uff0c\u5be6\u969b\u4e0a\u6211\u5011\u8a08\u7b97\u57fa \u9031\u8ecc\u8de1\u9810\u6e2c\u8aa4\u5dee\u5728\u5404\u7dad\u5ea6\u4e0a\u7684\u5e73\u5747\u503c\u5f97\u77e5\uff0cSPC-HMM \u6a21\u578b\u7684\u8aa4\u5dee\u5e73\u5747\u5404\u7dad\u5ea6\u90fd \u7d04\u5728 0.013 \u5de6\u53f3\uff0c\u800c ANN \u6a21\u578b\u7684\u8aa4\u5dee\u5e73\u5747\uff0c\u5404\u7dad\u5ea6\u5247\u5927\u591a\u5728\u7d55\u5c0d\u503c 0.002 \u4ee5\u4e0b\u3002 \u5206\uff0c\u6bd4 ANN \u6a21\u578b\u7684 7.2 \u5206\u597d \u4e00\u4e9b\uff0c\u800c SPC-HMM \u6a21\u578b\u4e5f\u53ef\u5f97\u5230 6.9 \u5206\uff0c\u96d6\u7136\u8aaa SPC-HMM \u6a21\u578b\u7684\u57fa\u9031\u8ecc\u8de1\u9810"
}
}
}
}